PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-20 10:21:38.865831+00:00 (UTC)
In US/Central Time, this is 2024-06-20 05:21:38.865831-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/f4c525e507837d5064a6b0c7f341548bf1ff4a986e765c9f7f6008c347942ff5.png
We are just generating a random time serie here.
../_images/c5e6b7e0b98f7f968b1f29db18f3de501fd98f7589c87fe5b0d613e3f8afa3eb.png
../_images/06eddde26d60d1f5674a612a94e47028ddb0a4ad7150b87200fcb601f12765a0.png